multicollinear
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Multicollinearity — is a statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated. In this situation the coefficient estimates may change erratically in response to small changes in the model or the data.… … Wikipedia
multicollinearity — noun A phenomenon in which two or more predictor variables in a multiple regression model are highly correlated, so that the coefficient estimates may change erratically in response to small changes in the model or data. See Also: multicollinear … Wiktionary
Ordinary least squares — This article is about the statistical properties of unweighted linear regression analysis. For more general regression analysis, see regression analysis. For linear regression on a single variable, see simple linear regression. For the… … Wikipedia
multicollinearity — occurs where there is a high correlation between two or more independent variables in a regression analysis. There is considerable disagreement about the degree of correlation that must exist between independent variables before they are… … Dictionary of sociology
